Papers Visual Navigation
“Visual Navigation” 태그가 달린 논문 435편 · 필터 해제
Generalizable Audio-Visual Navigation via Binaural Difference Attention and Action Transition Prediction
In Audio-Visual Navigation (AVN), agents must locate sound sources in unseen 3D environments using visual and auditory cues. However, existing methods often struggle with generalization in unseen scenarios, as they tend …
Visual NavigationSTRNet: Visual Navigation with Spatio-Temporal Representation through Dynamic Graph Aggregation
Visual navigation requires the robot to reach a specified goal such as an image, based on a sequence of first-person visual observations. While recent learning-based approaches have made significant progress, they often …
Visual NavigationAudio Spatially-Guided Fusion for Audio-Visual Navigation
Audio-visual Navigation refers to an agent utilizing visual and auditory information in complex 3D environments to accomplish target localization and path planning, thereby achieving autonomous navigation. The core chall…
Visual NavigationSpatial-Aware Conditioned Fusion for Audio-Visual Navigation
Audio-visual navigation tasks require agents to locate and navigate toward continuously vocalizing targets using only visual observations and acoustic cues. However, existing methods mainly rely on simple feature concate…
Visual NavigationReliability-Aware Geometric Fusion for Robust Audio-Visual Navigation
Audio-Visual Navigation (AVN) requires an embodied agent to navigate toward a sound source by utilizing both vision and binaural audio. A core challenge arises in complex acoustic environments, where binaural cues become…
Visual Navigation120 Minutes and a Laptop: Minimalist Image-goal Navigation via Unsupervised Exploration and Offline RL
The prevailing paradigm for image-goal visual navigation often assumes access to large-scale datasets, substantial pretraining, and significant computational resources. In this work, we challenge this assumption. We show…
Computational EfficiencyReinforcement LearningVisual NavigationOffline RLIntentReact: Guiding Reactive Object-Centric Navigation via Topological Intent
Object-goal visual navigation requires robots to reason over semantic structure and act effectively under partial observability. Recent approaches based on object-level topological maps enable long-horizon navigation wit…
Visual NavigationCan Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
Visual Navigation Models (VNMs) promise generalizable, robot navigation by learning from large-scale visual demonstrations. Despite growing real-world deployment, existing evaluations rely almost exclusively on success r…
Visual NavigationRobot NavigationPolicy-Guided World Model Planning for Language-Conditioned Visual Navigation
Navigating to a visually specified goal given natural language instructions remains a fundamental challenge in embodied AI. Existing approaches either rely on reactive policies that struggle with long-horizon planning, o…
Visual NavigationLanguage-Conditioned World Modeling for Visual Navigation
We study language-conditioned visual navigation (LCVN), in which an embodied agent is asked to follow a natural language instruction based only on an initial egocentric observation. Without access to goal images, the age…
Trajectory PredictionContinuous ControlVisual NavigationDynamic Control Barrier Function Regulation with Vision-Language Models for Safe, Adaptive, and Realtime Visual Navigation
Robots operating in dynamic, unstructured environments must balance safety and efficiency under potentially limited sensing. While control barrier functions (CBFs) provide principled collision avoidance via safety filter…
Collision AvoidanceVisual NavigationCeRLP: A Cross-embodiment Robot Local Planning Framework for Visual Navigation
Visual navigation for cross-embodiment robots is challenging due to variations in robot and camera configurations, which can lead to the failure of navigation tasks. Previous approaches typically rely on collecting massi…
Vision-Language NavigationMonocular Depth EstimationVisual NavigationSemantic Audio-Visual Navigation in Continuous Environments
Audio-visual navigation enables embodied agents to navigate toward sound-emitting targets by leveraging both auditory and visual cues. However, most existing approaches rely on precomputed room impulse responses (RIRs) f…
Visual NavigationSignNav: Leveraging Signage for Semantic Visual Navigation in Large-Scale Indoor Environments
Humans routinely leverage semantic hints provided by signage to navigate to destinations within novel Large-Scale Indoor (LSI) environments, such as hospitals and airport terminals. However, this capability remains under…
Visual NavigationPredictive and adaptive maps for long-term visual navigation in changing environments
In this paper, we compare different map management techniques for long-term visual navigation in changing environments. In this scenario, the navigation system needs to continuously update and refine its feature map in o…
Visual NavigationRAE-NWM: Navigation World Model in Dense Visual Representation Space
Visual navigation requires agents to reach goals in complex environments through perception and planning. World models address this task by simulating action-conditioned state transitions to predict future observations. …
Visual NavigationT2Nav Algebraic Topology Aware Temporal Graph Memory and Loop Detection for ZeroShot Visual Navigation
Deploying autonomous agents in real world environments is challenging, particularly for navigation, where systems must adapt to situations they have not encountered before. Traditional learning approaches require substan…
Visual NavigationRVN-Bench: A Benchmark for Reactive Visual Navigation
Safe visual navigation is critical for indoor mobile robots operating in cluttered environments. Existing benchmarks, however, often neglect collisions or are designed for outdoor scenarios, making them unsuitable for in…
Reinforcement LearningVisual NavigationSaferPath: Hierarchical Visual Navigation with Learned Guidance and Safety-Constrained Control
Visual navigation is a core capability for mobile robots, yet end-to-end learning-based methods often struggle with generalization and safety in unseen, cluttered, or narrow environments. These limitations are especially…
Visual NavigationLearning to Localize Reference Trajectories in Image-Space for Visual Navigation
We present LoTIS, a model for visual navigation that provides robot-agnostic image-space guidance by localizing a reference RGB trajectory in the robot's current view, without requiring camera calibration, poses, or robo…
Visual Navigation